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作者:... Hamzeh T. Alkasasbeh , Abid Hussanan , Mustafa Mamat
来源:[J].Results in Physics, 2018, Vol.9, pp.717-724
摘要:Abstract(#br)Natural convection boundary layer flow over a solid sphere in micropolar nanofluid with prescribed wall temperature is studied. Copper (Cu) and alumina (Al 2 O 3 ) in water-based micropolar nanofluid has been considered. Tiwari and Das’s nanofluid model with rea...
作者:... Abid Hussanan , Mustafa Mamat , Babar Ahmad
来源:[J].Symmetry, 2019, Vol.11 (5)
摘要:This paper aims to examine the Darcy–Brinkman flow over a stretching sheet in the presence of frictional heating and porous dissipation. The governing equations are modeled and simplified under boundary layer approximations, which are then transformed into system of self-sim...
作者:Mohd Rivaie , Mustafa Mamat , Abdelrhaman Abashar
来源:[J].Applied Mathematics and Computation(IF 1.349), 2015, Vol.268, pp.1152-1163
摘要:Abstract(#br)Conjugate gradient (CG) methods have played an important role in solving large-scale unconstrained optimization. In this paper, we propose a new family of CG coefficients ( β k ) that possess sufficient descent conditions and global convergence properties. This ...
作者:Mustafa Mamat , Mohd Rivaie
来源:[J].Mathematical Problems in Engineering(IF 1.383), 2015, Vol.2015
摘要:Conjugate gradient (CG) method is an interesting tool to solve optimization problems in many fields, such as design, economics, physics, and engineering. In this paper, we depict a new hybrid of CG method which relates to the famous Polak-Ribière-Polyak (PRP) formula. It rev...
作者:Mustafa Mamat , Leong Wah June
来源:[J].Applied Mathematics and Computation(IF 1.349), 2012, Vol.218 (22), pp.11323-11332
摘要:Abstract(#br)Nonlinear conjugate gradient (CG) methods have played an important role in solving large-scale unconstrained optimization. Their wide application in many fields is due to their low memory requirements and global convergence properties. Numerous studies and modif...
作者:... Zabidin Salleh , Mustafa Mamat , Mohd Rivaie
来源:[J].Optimization Methods and Software(IF 0.683), 2017, Vol.32 (6), pp.1299-1312
摘要:The conjugate gradient (CG) method is one of the most popular methods for solving large-(#br)scale unconstrained optimization problems. In this paper, a new modified version of the CG formula that was introduced by Polak, Ribière, and Polyak is proposed for problems that are...
作者:Mohd Asrul Hery Ibrahim , Mustafa Mamat , Wah June Leong
来源:[J].Abstract and Applied Analysis(IF 1.102), 2014, Vol.2014
摘要:In solving large scale problems, the quasi-Newton method is known as the most efficient method in solving unconstrained optimization problems. Hence, a new hybrid method, known as the BFGS-CG method, has been created based on these properties, combining the search direction betwe...
作者:Mustafa Mamat , Mohd Rivaie ...
来源:[J].Mathematical Problems in Engineering(IF 1.383), 2015, Vol.2015
摘要:Conjugate gradient (CG) method is an interesting tool to solve optimization problems in many fields, such as design, economics, physics, and engineering. In this paper, we depict a new hybrid of CG method which relates to the famous Polak-Ribière-Polyak (PRP) formula. It rev...
作者:... Najmeh Malekmohammadi , Mustafa Mamat , Guanglu Zhou
来源:[J].Abstract and Applied Analysis(IF 1.102), 2013, Vol.2013
摘要:We present a new gradient method that uses scaling and extra updating within the diagonal updating for solving unconstrained optimization problem. The new method is in the frame of Barzilai and Borwein (BB) method, except that the Hessian matrix is approximated by a diagonal matr...
作者:Mustafa Mamat , Wah June Leong
来源:[J].Abstract and Applied Analysis(IF 1.102), 2014, Vol.2014
摘要:In solving large scale problems, the quasi-Newton method is known as the most efficient method in solving unconstrained optimization problems. Hence, a new hybrid method, known as the BFGS-CG method, has been created based on these properties, combining the search direction betwe...

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